en:vpet:mod:chatvpetprocess

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en:vpet:mod:chatvpetprocess [2026/05/10 18:14] – [Table of Contents] 有米en:vpet:mod:chatvpetprocess [2026/05/10 23:23] (current) 有米
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-FIXME **This page is not fully translated, yet. Please help completing the translation.**\\ //(remove this paragraph once the translation is finished)// 
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 # ChatVPet Process Setup Tutorial # ChatVPet Process Setup Tutorial
  
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    - [What is Embedding](#What is_embedding)    - [What is Embedding](#What is_embedding)
    - [Using OpenAI Embedding](#Using_openai_embedding)    - [Using OpenAI Embedding](#Using_openai_embedding)
-   - [Using LBGAME 提供的 bge-m3 模型](#使用_由_lbgame_提供的_bge-m3_模型)+   - [Using the bge-m3 Model Provided by LBGAME](#Using the bge-m3 Model Provided by LBGAME)
 4. [Basic Settings — Other Parameters](#Basic Settings_Other Parameters) 4. [Basic Settings — Other Parameters](#Basic Settings_Other Parameters)
 5. [Other Settings — Voice Input and Advanced Parameters](#Other Settings — Voice Input and Advanced Parameters) 5. [Other Settings — Voice Input and Advanced Parameters](#Other Settings — Voice Input and Advanced Parameters)
-6. [知识库设置](#6-知识库设置+6. [Knowledge Base Settings](#6-Knowledge Base Settings
-7. [数据库预览](#7-数据库预览+7. [Database Preview](#7-Database Preview
-8. [常见问题](#8-常见问题)+8. [FAQ](#8-FAQ)
  
 --- ---
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 | **Embedding URL** | The address of the Embedding endpoint; leave blank to use the primary API URL. | | **Embedding URL** | The address of the Embedding endpoint; leave blank to use the primary API URL. |
 | **Embedding Key** | The secret key for the Embedding endpoint; leave blank to automatically use the primary API Key. | | **Embedding Key** | The secret key for the Embedding endpoint; leave blank to automatically use the primary API Key. |
-| **Embedding Model** | The Embedding model to be used; defaults to `text-embedding-3-small`. |+| **Embedding Model** | The Embedding model to be used; defaults to `text-embedding-3-small` . |
  
 <wrap info> **Note**:After changing the Embedding model or API, please go to the **Database Preview** tab and click **Clear Vector Cache** to ensure old cached data is invalidated and new vectors are regenerated. </wrap> <wrap info> **Note**:After changing the Embedding model or API, please go to the **Database Preview** tab and click **Clear Vector Cache** to ensure old cached data is invalidated and new vectors are regenerated. </wrap>
  
  
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 ### 3.2 Using OpenAI Embedding ### 3.2 Using OpenAI Embedding
  
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 **Rules**: **Rules**:
 - One piece of information per line - One piece of information per line
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 - Knowledge is not directly loaded into the prompt in its entirety; instead, it is dynamically retrieved by the embedding algorithm based on relevance. - Knowledge is not directly loaded into the prompt in its entirety; instead, it is dynamically retrieved by the embedding algorithm based on relevance.
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 - You can describe the Pet's persona, daily preferences, specialized domain knowledge, and more. - You can describe the Pet's persona, daily preferences, specialized domain knowledge, and more.
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 - Use `{name}`to refer to the Pet's name and `{hostname}`to refer to the player's name.  - Use `{name}`to refer to the Pet's name and `{hostname}`to refer to the player's name. 
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 - Changes will take effect after restarting the game. - Changes will take effect after restarting the game.
  
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 --- ---
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 ## 8. FAQ ## 8. FAQ
  
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 **Q: Is configuring Embedding mandatory? **   **Q: Is configuring Embedding mandatory? **  
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 A: Yes, it is mandatory. If you are unsure what to fill in, please refer to **3.3** A: Yes, it is mandatory. If you are unsure what to fill in, please refer to **3.3**
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 **Q: Search results worsened after changing the Embedding model? **   **Q: Search results worsened after changing the Embedding model? **  
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 A: Vectors generated by different models are incompatible. Please click **Clear Vector Cache** on the **Database Preview** page and wait for the vectors to be regenerated during the next conversation. A: Vectors generated by different models are incompatible. Please click **Clear Vector Cache** on the **Database Preview** page and wait for the vectors to be regenerated during the next conversation.
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 **Q: How can I reduce Token consumption?**   **Q: How can I reduce Token consumption?**  
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